Feng Xia - RankMe

33 papers A* 7A 9Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CIKM Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025	J	`jnl`	ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling. CoRR Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2024	J	`jnl`	CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang
2024	J	`jnl`	FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
2024	A*	`conf`	Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
2023	—	`conf`	Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023	J	`jnl`	Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023	—	`conf`	Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin
2023	A	`conf`	Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. CIKM Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
2023	J	`jnl`	Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. CoRR Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
2023	J	`jnl`	Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. CoRR Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin
2023	J	`jnl`	Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. CoRR Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin
2023	J	`jnl`	Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
2023	—	`conf`	Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2023	—	`conf`	Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
2022	A	`conf`	A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2022	J	`jnl`	Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
2022	A	`conf`	Long Short-Term Temporal Meta-learning in Online Recommendation. WSDM Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
2022	A	`conf`	Multi-granularity Fatigue in Recommendation. CIKM Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
2022	J	`jnl`	Pruning Pre-trained Language Models Without Fine-Tuning. CoRR Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2022	J	`jnl`	Reweighting Clicks with Dwell Time in Recommendation. CoRR Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
2021	A*	`conf`	Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
2021	A	`conf`	Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021	J	`jnl`	Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2021	A*	`conf`	Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021	J	`jnl`	Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
2021	A*	`conf`	Personalized Approximate Pareto-Efficient Recommendation. WWW Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021	A	`conf`	Real-time Relevant Recommendation Suggestion. WSDM Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin
2020	A	`conf`	Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2020	A*	`conf`	Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. ACM Multimedia Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang
2020	A*	`conf`	Deep Feedback Network for Recommendation. IJCAI Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
2020	A	`conf`	Exploring Clustering of Bandits for Online Recommendation System. RecSys Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
2019	A*	`conf`	Effects of User Negative Experience in Mobile News Streaming. SIGIR Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma